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Gene · 57477

Papers2,355

Newest first. Swiss-Prot's references are curated; PubTator's text mining finds papers that name the gene, not always ones about it.

241 to 260 of 2,355

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TitleJournalYearPMIDFound bySource
[Identification of Urban Road Traffic Carbon Emission Driving Mechanisms Based on Interpretable Machine Learning].Huan Jing Ke Xue202642336407PubTator, text miningPubMed
An explainable hybrid deep learning framework for multi-source student employment prediction.Sci Rep202642332256PubTator, text miningPubMed
Interpretable deep learning for rotator cuff calcific tendinopathy diagnosis: a multi-center study.Sci Rep202642331876PubTator, text miningPubMed
The application of the radiomic-clinical model based on SHAP-XGBoost method for differentiating pulmonary tuberculosis from Streptococcus pneumoniae pneumonia in children.Front Med (Lausanne)202642328577PubTator, text miningPubMed
Explainable AI for mental health emergency returns: integrating large language models with predictive modeling.JAMIA Open202642327624PubTator, text miningPubMed
Interpretable detection of left ventricular hypertrophy using commercial ECG features and machine learning: a study based on the PTB-XL+ dataset.Front Cardiovasc Med202642325668PubTator, text miningPubMed
Development of antenatal risk prediction model for preeclampsia with severe features in Lagos, Nigeria (PreSev study): protocol of a prospective cohort study.BMC Pregnancy Childbirth202642323576PubTator, text miningPubMed
Research on predicting risk factors for re-bleeding in the acute phase of intracerebral hemorrhage using machine learning algorithms.Front Med (Lausanne)202642318415PubTator, text miningPubMed
Integrated metabolomics and machine learning identify predictive biomarkers via SHAP analysis for sintilimab-induced rash in lung cancer patients.Front Pharmacol202642318346PubTator, text miningPubMed
Prediction model for postoperative delirium risk in elderly hypertensive patients: machine learning-based development and validation.Front Psychiatry202642318099PubTator, text miningPubMed
Integrative plasma proteomics and myeloid- interferon profiling reveal an AI-validated vascular- endothelial stress signature distinguishing SLE flare from remission in an Indian cohort a discovery - phase study.
Front Immunol202642317313PubTator, text miningPubMed
Large-scale transcriptomic data mining using explainable XGBoost and SHAP reveals shared biomarkers and molecular mechanisms between type-2 diabetes and triple-negative breast cancer for drug repurposing.
BioData Min202642316306PubTator, text miningPubMed
Mortality risk prediction from dense PICU data from patients with suspected infection: data-derived physiological trajectories outperform expert assessments when temporal resolution is high.Int J Infect Dis202642314972PubTator, text miningPubMed
Predicting a few or many friends in schoolchildren: a machine learning approach.J Gen Psychol202642313573PubTator, text miningPubMed
Machine learning prediction of sepsis in paralytic ileus using interpretable clinical models.Front Cell Infect Microbiol202642312038PubTator, text miningPubMed
A multimodal MRI radiomics model for distinguishing borderline from malignant ovarian epithelial tumors.Clin Transl Oncol202642310186PubTator, text miningPubMed
DCBM-Tri: a dual-channel bilinear mapping triplet model for early recognition of acute kidney injury in imbalanced cohorts.Sci Rep202642310044PubTator, text miningPubMed
In- and Out-of-Possession Running and Technical-Tactical Performance in Soccer.Res Q Exerc Sport202642308026PubTator, text miningPubMed
Interpretable photoplethysmography-based machine-learning model for noninvasive assessment of systolic blood pressure.Front Physiol202642305919PubTator, text miningPubMed
Explainable EEG-based machine learning for early diagnosis of Alzheimer's disease and frontotemporal dementia.Sci Rep202642297902PubTator, text miningPubMed

gene-search-2026-11-11-0.2.0

Sources 12

  • ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
  • ChEMBL, through Open TargetsCC BY-SA 3.0
  • ClinicalTrials.govNo license stated
  • EMBL-EBI's patent proteinsNo added restrictions. Attribution expected
  • GenBank's patent filesNo restrictions from NCBI. Submitters may hold rights
  • HGNCCC0
  • NCBI GenePublic domain (US government)
  • NIH's project files and grant-paper linksPublic domain
  • Open TargetsCC0 1.0
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0
Each source's terms
  • ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
  • ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • ClinicalTrials.govnone stated
  • EMBL-EBI's patent proteinsEMBL-EBI's patent protein files from the EPO, JPO, KIPO and USPTO. EMBL-EBI: "EMBL-EBI itself places no additional restrictions on the use or redistribution of the data available via its Data Resources and Tools other than those provided by the original data owners" and "EMBL-EBI expects attribution (e.g. in publications, services or products) for the use of any of its Data Resources and Tools." Read on 11 Nov 2026 at https://www.ebi.ac.uk/about/terms-of-use
  • GenBank's patent filesGenBank's patent files. NCBI: "NCBI places no restrictions on the use or distribution of the GenBank data. However, some submitters may claim patent, copyright, or other intellectual property rights in all or a portion of the data they have submitted." Read on 11 Nov 2026 at https://www.ncbi.nlm.nih.gov/genbank/about/
  • HGNCCC0: https://www.genenames.org/about/license/
  • NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • NIH's project files and grant-paper linksPublic domain (NIH RePORTER)
  • Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

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